<?xml version="1.0" encoding="UTF-8"?>
<record
    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd"
    xmlns="http://www.loc.gov/MARC21/slim">

  <leader>06177nam a22006855i 4500</leader>
  <controlfield tag="001">978-981-99-9864-7</controlfield>
  <controlfield tag="003">DE-He213</controlfield>
  <controlfield tag="005">20251030111412.0</controlfield>
  <controlfield tag="007">cr nn 008mamaa</controlfield>
  <controlfield tag="008">240201s2024    si |    s    |||| 0|eng d</controlfield>
  <datafield tag="020" ind1=" " ind2=" ">
    <subfield code="a">9789819998647</subfield>
    <subfield code="9">978-981-99-9864-7</subfield>
  </datafield>
  <datafield tag="024" ind1="7" ind2=" ">
    <subfield code="a">10.1007/978-981-99-9864-7</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="050" ind1=" " ind2="4">
    <subfield code="a">R858-859.7</subfield>
  </datafield>
  <datafield tag="072" ind1=" " ind2="7">
    <subfield code="a">MBG</subfield>
    <subfield code="2">bicssc</subfield>
  </datafield>
  <datafield tag="072" ind1=" " ind2="7">
    <subfield code="a">UB</subfield>
    <subfield code="2">bicssc</subfield>
  </datafield>
  <datafield tag="072" ind1=" " ind2="7">
    <subfield code="a">MED117000</subfield>
    <subfield code="2">bisacsh</subfield>
  </datafield>
  <datafield tag="072" ind1=" " ind2="7">
    <subfield code="a">UXT</subfield>
    <subfield code="2">thema</subfield>
  </datafield>
  <datafield tag="245" ind1="1" ind2="0">
    <subfield code="a">Health Information Processing</subfield>
    <subfield code="h">[electronic resource] :</subfield>
    <subfield code="b">9th China Health Information Processing Conference, CHIP 2023, Hangzhou, China, October 27&#x2013;29, 2023, Proceedings /</subfield>
    <subfield code="c">edited by Hua Xu, Qingcai Chen, Hongfei Lin, Fei Wu, Lei Liu, Buzhou Tang, Tianyong Hao, Zhengxing Huang.</subfield>
  </datafield>
  <datafield tag="250" ind1=" " ind2=" ">
    <subfield code="a">1st ed. 2024.</subfield>
  </datafield>
  <datafield tag="264" ind1=" " ind2="1">
    <subfield code="a">Singapore :</subfield>
    <subfield code="b">Springer Nature Singapore :</subfield>
    <subfield code="b">Imprint: Springer,</subfield>
    <subfield code="c">2024.</subfield>
  </datafield>
  <datafield tag="300" ind1=" " ind2=" ">
    <subfield code="a">XV, 432 p. 130 illus., 102 illus. in color.</subfield>
    <subfield code="b">online resource.</subfield>
  </datafield>
  <datafield tag="336" ind1=" " ind2=" ">
    <subfield code="a">text</subfield>
    <subfield code="b">txt</subfield>
    <subfield code="2">rdacontent</subfield>
  </datafield>
  <datafield tag="337" ind1=" " ind2=" ">
    <subfield code="a">computer</subfield>
    <subfield code="b">c</subfield>
    <subfield code="2">rdamedia</subfield>
  </datafield>
  <datafield tag="338" ind1=" " ind2=" ">
    <subfield code="a">online resource</subfield>
    <subfield code="b">cr</subfield>
    <subfield code="2">rdacarrier</subfield>
  </datafield>
  <datafield tag="347" ind1=" " ind2=" ">
    <subfield code="a">text file</subfield>
    <subfield code="b">PDF</subfield>
    <subfield code="2">rda</subfield>
  </datafield>
  <datafield tag="490" ind1="1" ind2=" ">
    <subfield code="a">Communications in Computer and Information Science,</subfield>
    <subfield code="x">1865-0937 ;</subfield>
    <subfield code="v">1993</subfield>
  </datafield>
  <datafield tag="505" ind1="0" ind2=" ">
    <subfield code="a">TIG-KIGNN: Time Interval Guided Knowledge Inductive Graph Neural Network for misinformation detection from Social Media -- A Bert based relation extraction method with inter-entity constraints for Chinese EHRs -- Automatic Generation of Discharge Summary of EMRs Based on Multi-granularity Information Fusion -- A BART-based Study of Entity-Relationship Extraction for Electronic Medical Records of Cardiovascular Diseases -- Multilevel Asynchronous Time Network for Medication Recommendation -- Biomedical Event Detection of Based on Dependency Analysis and Graph Convolution Network -- Multi-head Attention and Graph Convolutional Networks with Regularized Dropout for Biomedical Relation Extraction -- Privacy-preserving Medical Dialogue Generation Based on Federated Learning -- Cross-Lingual Name Entity Recognition from Clinical Text using Mixed Language Query -- PEMRC: A Positive Enhanced Machine Reading Comprehension Method for Few-Shot Named Entity Recognition in Biomedical Domain -- Research on Double-Graphs Knowledge-Enhanced Intelligent Diagnosis -- FgKF: Fine-grained Knowledge Fusion for Radiology Report Generation -- Medical Entity recognition with few-shot based on Chinese character radicals -- Biomedical causal relation extraction incorporated with external knowledge -- Research on structured lung cancer electronic medical records based on BART joint extraction -- Biomedical Named Entity Recognition Based on Multi-task Learning -- Biomedical Relation Extraction via Syntax-Enhanced Contrastive Networks -- Entity Fusion Contrastive Inference Network for Biomedical Document Relation Extraction -- An Unsupervised Clinical Acronym Disambiguation Method based on Pretrained Language Model -- Combining Biaffine Model and Constraints Inference for Chinese Clinical Temporal Relation Extraction -- Automatic Prediction of Multiple Associated Diseases Using A Dual-attention Neural Network Model -- Chapter-level Stepwise Temporal Relation Extraction Based on Event Information for Chinese Clinical Medical Texts -- Constructing a Multi-scale Medical Knowledge Graph from Electronic Medical Records -- Double Graph Convolution Network with Knowledge Distillation for International Media Portrait Analysis of COVID-19 -- A Simple but Useful Multi-corpus Transferring Method for Biomedical Named Entity Recognition -- Time Series Prediction Models for Assisting the Diagnosis and Treatment of Gouty Arthritis -- Asymptomatic carriers are associated with shorter negative conversion time in children with Omicron infections.</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">This book constitutes the refereed proceedings of the 9th China Health Information Processing Conference, CHIP 2023, held in Hangzhou, China, during October 27&#x2013;29, 2023. The 27 full papers included in this book were carefully reviewed and selected from 66 submissions. They were organized in topical sections as follows: healthcare information extraction; healthcare natural language processing; healthcare data mining and applications.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
    <subfield code="a">Medical informatics.</subfield>
    <subfield code="9">60693</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
    <subfield code="a">Artificial intelligence.</subfield>
    <subfield code="9">58441</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
    <subfield code="a">Image processing</subfield>
    <subfield code="x">Digital techniques.</subfield>
    <subfield code="9">64228</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
    <subfield code="a">Computer vision.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
    <subfield code="a">Application software.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
    <subfield code="a">Information storage and retrieval systems.</subfield>
    <subfield code="9">65568</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="4">
    <subfield code="a">Health Informatics.</subfield>
  </datafield>
  <datafield tag="650" ind1="2" ind2="4">
    <subfield code="a">Artificial Intelligence.</subfield>
    <subfield code="9">58441</subfield>
  </datafield>
  <datafield tag="650" ind1="2" ind2="4">
    <subfield code="a">Computer Imaging, Vision, Pattern Recognition and Graphics.</subfield>
    <subfield code="9">65550</subfield>
  </datafield>
  <datafield tag="650" ind1="2" ind2="4">
    <subfield code="a">Computer and Information Systems Applications.</subfield>
  </datafield>
  <datafield tag="650" ind1="2" ind2="4">
    <subfield code="a">Information Storage and Retrieval.</subfield>
    <subfield code="9">65570</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
    <subfield code="a">Xu, Hua.</subfield>
    <subfield code="e">editor.</subfield>
    <subfield code="4">edt</subfield>
    <subfield code="4">http://id.loc.gov/vocabulary/relators/edt</subfield>
    <subfield code="9">70439</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
    <subfield code="a">Chen, Qingcai.</subfield>
    <subfield code="e">editor.</subfield>
    <subfield code="4">edt</subfield>
    <subfield code="4">http://id.loc.gov/vocabulary/relators/edt</subfield>
    <subfield code="9">70440</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
    <subfield code="a">Lin, Hongfei.</subfield>
    <subfield code="e">editor.</subfield>
    <subfield code="0">(orcid)0000-0003-0872-7688</subfield>
    <subfield code="1">https://orcid.org/0000-0003-0872-7688</subfield>
    <subfield code="4">edt</subfield>
    <subfield code="4">http://id.loc.gov/vocabulary/relators/edt</subfield>
    <subfield code="9">70441</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
    <subfield code="a">Wu, Fei.</subfield>
    <subfield code="e">editor.</subfield>
    <subfield code="4">edt</subfield>
    <subfield code="4">http://id.loc.gov/vocabulary/relators/edt</subfield>
    <subfield code="9">70442</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
    <subfield code="a">Liu, Lei.</subfield>
    <subfield code="e">editor.</subfield>
    <subfield code="4">edt</subfield>
    <subfield code="4">http://id.loc.gov/vocabulary/relators/edt</subfield>
    <subfield code="9">70443</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
    <subfield code="a">Tang, Buzhou.</subfield>
    <subfield code="e">editor.</subfield>
    <subfield code="4">edt</subfield>
    <subfield code="4">http://id.loc.gov/vocabulary/relators/edt</subfield>
    <subfield code="9">70444</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
    <subfield code="a">Hao, Tianyong.</subfield>
    <subfield code="e">editor.</subfield>
    <subfield code="4">edt</subfield>
    <subfield code="4">http://id.loc.gov/vocabulary/relators/edt</subfield>
    <subfield code="9">70445</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
    <subfield code="a">Huang, Zhengxing.</subfield>
    <subfield code="e">editor.</subfield>
    <subfield code="4">edt</subfield>
    <subfield code="4">http://id.loc.gov/vocabulary/relators/edt</subfield>
    <subfield code="9">70446</subfield>
  </datafield>
  <datafield tag="710" ind1="2" ind2=" ">
    <subfield code="a">SpringerLink (Online service)</subfield>
  </datafield>
  <datafield tag="773" ind1="0" ind2=" ">
    <subfield code="t">Springer Nature eBook</subfield>
  </datafield>
  <datafield tag="776" ind1="0" ind2="8">
    <subfield code="i">Printed edition:</subfield>
    <subfield code="z">9789819998630</subfield>
  </datafield>
  <datafield tag="776" ind1="0" ind2="8">
    <subfield code="i">Printed edition:</subfield>
    <subfield code="z">9789819998654</subfield>
  </datafield>
  <datafield tag="830" ind1=" " ind2="0">
    <subfield code="a">Communications in Computer and Information Science,</subfield>
    <subfield code="x">1865-0937 ;</subfield>
    <subfield code="v">1993</subfield>
    <subfield code="9">66508</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2="0">
    <subfield code="u">https://doi.org/10.1007/978-981-99-9864-7</subfield>
  </datafield>
  <datafield tag="912" ind1=" " ind2=" ">
    <subfield code="a">ZDB-2-SCS</subfield>
  </datafield>
  <datafield tag="912" ind1=" " ind2=" ">
    <subfield code="a">ZDB-2-SXCS</subfield>
  </datafield>
  <datafield tag="999" ind1=" " ind2=" ">
    <subfield code="c">57443</subfield>
    <subfield code="d">57443</subfield>
  </datafield>
</record>
